activity
20082024
most citedHow the Taxonomy of Products Drives the Economic Development of Countries

100 citations · 881 across the 39 of their papers we have counts for

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Showing physics.soc-phShow all

12 papers · 1 filter

physics.soc-ph2022★ 11 cited

Prediction and visualization of Mergers and Acquisitions using Economic Complexity

Lorenzo Arsini, Matteo Straccamore, Andrea Zaccaria

Mergers and Acquisitions represent important forms of business deals, both because of the volumes involved in the transactions and because of the role of the innovation activity of…

physics.soc-ph2022★ 4 cited

The different structure of economic ecosystems at the scales of companies and countries

Dario Laudati, Manuel S. Mariani, Luciano Pietronero +1

A key element to understand complex systems is the relationship between the spatial scale of investigation and the structure of the interrelation among its elements. When it comes…

physics.soc-ph2022★ 12 cited

Quantifying the Unexpected: a scientific approach to Black Swans

Giordano De Marzo, Andrea Gabrielli, Andrea Zaccaria +1

Many natural and socio-economic systems are characterized by power-law distributions that make the occurrence of extreme events not negligible. Such events are sometimes referred t…

physics.soc-ph2021

Which will be your firm's next technology? Comparison between machine learning and network-based algorithms

Matteo Straccamore, Luciano Pietronero, Andrea Zaccaria

We reconstruct the innovation dynamics of about two hundred thousand companies by following their patenting activity for about ten years. We define the technological portfolios of…

physics.soc-ph2021★ 1 cited

Citations or dollars? Early signals of a firm's research success

Shuqi Xu, Manuel S. Mariani, Linyuan Lü +3

Scientific and technological progress is largely driven by firms in many domains, including artificial intelligence and vaccine development. However, we do not know yet whether the…

physics.soc-ph2021★ 26 cited

Meta-validation of bipartite network projections

Giulio Cimini, Alessandro Carra, Luca Didomenicantonio +1

Monopartite projections of bipartite networks are useful tools for modeling indirect interactions in complex systems. The standard approach to identify significant links is statist…